To enable modern data intensive applications including data warehousing, global
information systems and electronic commerce, we must solve the schema mapping problem …

We consider the integration requirements of modern data intensive applications including
data warehousing, global information systems and electronic commerce. At the heart of …

At the heart of many data-intensive applications is the problem of quickly and accurately
transforming data into a new form. Database researchers have long advocated the use of …

The Clio project provides tools that vastly simplify information integration. Information
integration requires data conversions to bring data in different representations into a …

Many problems in information integration rely on specifications, called schema mappings,
that model the relationships between schemas. Schema mappings for both relational and …

A schema mapping is a specification of the relationship between a source schema and a
target schema. Schema mappings are fundamental building blocks in data integration and …

End-users increasingly find the need to perform light-weight, customized schema mapping.
State-of-the-art tools provide powerful functions to generate schema mappings, but they …

ABSTRACT A schema mapping is a high-level declarative specification of the relationship
between two schemas; it specifies how data structured under one schema, called the source …

Schema mapping algorithms rely on value correspondences-ie, correspondences among
semantically related attributes-to produce complex transformations among data sources …

Attribute-level schema matching has proven to be an important first step in developing
mappings for data exchange, integration, restructuring and schema evolution. In this paper …